ci.poisson

Computes a confidence interval for a population Poisson rate. This function
requires the number of occurences (f) of a specific event that were
observed over a specific period of time (t).

Implements confidence interval and sample size methods that
are especially useful in psychological research. The methods can be
applied in 1-group, 2-group, paired-samples, and multiple-group designs
and to a variety of parameters including means, medians, proportions,
slopes, standardized mean differences, standardized linear contrasts
of means, plus several measures of correlation and association.
Confidence interval and sample size functions are given for single
parameters as well as differences, ratios, and linear contrasts of
parameters. The sample size functions can be used to approximate the
sample size needed to estimate a parameter or function of parameters
with desired confidence interval precision or to perform a variety of
hypothesis tests (directional two-sided, equivalence, superiority,
noninferiority) with desired power. For details see: Statistical Methods
for Psychologists, Volumes 1 – 4, <https://dgbonett.sites.ucsc.edu/>.

Douglas G. Bonett

statpsych

Statistical Methods for Psychologists

Robert J. Calin-Jageman

ci.poisson function

<dl><dt>alpha</dt>
<dd>alpha value for 1-alpha confidence</dd>
<dt>f</dt>
<dd>number of event occurences</dd>
<dt>t</dt>
<dd>time period</dd></dl>

Arguments

Confidence interval for a Poisson rate — ci.poisson

<dl>

<dt>alpha</dt>
<dd>alpha value for 1-alpha confidence</dd>


<dt>f</dt>
<dd>number of event occurences</dd>


<dt>t</dt>
<dd>time period</dd>

</dl>

ci.poisson: Confidence interval for a Poisson rate

Description

Usage

Value

Arguments

Details

References

Examples